Sarmad Dashti Latif
Sarmad Dashti Latif publishes mostly in Environmental Engineering, Water Science and Technology and Global and Planetary Change, on topics such as Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies and Flood Risk Assessment and Management.
- World rank
- #359,504 of 7,710,434 ranked researchers
- Rank in Iraq
- #172 of 9,225
- Works
- 58
- Citations
- 1.6k
- Citations per work
- 27.1
What does Sarmad Dashti Latif research?
Sarmad Dashti Latif's work is mostly in Environmental Science (47%), Engineering (21%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences4068.4%
- Environmental Science2747.4%
- Engineering1221.0%
- Everything else1831.6%
- 1Environmental Engineering23% of their works
- 2Water Science and Technology14% of their works
- 3Global and Planetary Change10% of their works
- 4Civil and Structural Engineering10% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Ocean Engineering5% of their works
Research topics
- Hydrological Forecasting Using AI
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Energy Load and Power Forecasting
- Water resources management and optimization
- Air Quality Monitoring and Forecasting
- Water Quality Monitoring Technologies
- Infrastructure Maintenance and Monitoring
Which keywords describe Sarmad Dashti Latif's research?
The keywords of their largest research topics: Water Resources, Forecasting, Machine Learning, Climate Change, Artificial Neural Networks, Hydrology, Hydrological Modeling and Remote Sensing.
- Pavement
- Water Quality Monitoring
- Reservoir Operation
- Aquaculture
- Load Forecasting
- Surface Water Mapping
- Flood Risk
- Model Evaluation
- Deep Learning
- Remote Sensing
- Hydrology
- Climate Change
- Forecasting
- Water Resources
- Machine Learning
- Artificial Neural Networks
- Hydrological Modeling
- Neural Networks
- Global Hydrology
- Environmental Monitoring
- IoT
- Electricity Price Forecasting
- Air Quality Monitoring
- Low-Cost Sensors
- Water Demand
- Crack Detection
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 26 words, with their numbers
- Water Resources463 topics
- Forecasting332 topics
- Machine Learning332 topics
- Climate Change313 topics
- Artificial Neural Networks271 topic
- Hydrology271 topic
- Hydrological Modeling252 topics
- Remote Sensing182 topics
- Neural Networks152 topics
- Deep Learning132 topics
- Global Hydrology131 topic
- Model Evaluation131 topic
- Environmental Monitoring122 topics
- Flood Risk121 topic
- IoT122 topics
- Surface Water Mapping121 topic
- Electricity Price Forecasting91 topic
- Load Forecasting91 topic
- Air Quality Monitoring61 topic
- Aquaculture61 topic
- Low-Cost Sensors61 topic
- Reservoir Operation61 topic
- Water Demand61 topic
- Water Quality Monitoring61 topic
- Crack Detection41 topic
- Pavement41 topic
Where does Sarmad Dashti Latif work?
Sarmad Dashti Latif's main affiliation in the publication record is Komar University of Science and Technology, Iraq.
How many publications and citations does Sarmad Dashti Latif have?
OpenAlex counts 58 works and 1,573 citations for Sarmad Dashti Latif, an h-index of 22, ranking #359,504 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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